Did you know that we have LinkedIn, Instagram and X accounts
that you can follow?
Hi {{first_name|everyone}},
In this issue:
🤝 In Partnership: Get more context into every prompt
🤿Deep Dive: PettiChat's AI Collar promises to translate pet emotions
🎁Referral Rewards: Earn perks by inviting friends
🤝Supported by: Private credit designed for individual investors
🤿Deep Dive: Starbucks scraps its AI inventory tool after 9 months
⚒Tool Snapshots: Tools for AI, no-code, and productivity
🖼AI Art: Examples of great and trending AI art
🤝IN PARTNERSHIP WITH WISPR FLOW
10x the context. Half the time.
Speak your prompts into ChatGPT or Claude and get detailed, paste-ready input that actually gives you useful output. Wispr Flow captures what you'd cut when typing. Free on Mac, Windows, and iPhone.
🤿 DEEP DIVE
A Hangzhou Startup Hit 10,000 Preorders Claiming Its AI Collar Can Read Pet's Emotions
Intelligence: A Hangzhou startup called Meng Xiaoyi launched PettiChat, an AI collar that claims to translate pet sounds into human phrases with 94.6% emotion recognition accuracy, racking up over 10,000 preorders within days.
The collar weighs just 27 grams, connects to a phone app, and uses Alibaba's Qwen model to turn barks and meows into short sentences covering states like hunger, fear, and anxiety.
The 94.6% accuracy claim has not been backed by independent studies or third-party testing, which makes it hard to know how well it holds up in a real home versus a controlled environment.
Animal behavior experts point out that pets communicate through body language, posture, and context just as much as sound, meaning a collar focused on audio alone could easily miss the full picture.
At 799 yuan ($118), buyers are paying for interpretation not just tracking, so if the translations feel generic over time, the novelty could wear off fast.
PettiChat sits at the crossroads of pet care, wearables, and consumer AI in a market with over 126 million urban cats and dogs in China alone, making the commercial opportunity very real if the product can back up its promise.
🎁REFERRAL REWARDS
If TIW has been useful, invite one friend or coworker who’d actually use AI/automation at work.
1 referral → get the TIW No-Code Workflows PDF (25 plug-and-play workflows)
10 referrals → get a full course free (your choice)
Your referral link: {{rp_refer_url}}
Tip: send it to a friend who’s AI-curious, a coworker who wants to move faster, or anyone trying to automate repetitive tasks.
🤝 SUPPORTED BY PERCENT
$20.8B in Redemption Requests. Percent Was Issuing Deals and Paying on Schedule.
Those requests came from non-traded BDC investors in Q1 2026, and most got back roughly half of what they asked for. Moody's U.S. BDC sector outlook: Negative.
On Percent's marketplace that same quarter: new issuances, scheduled payments, 0.44% lifetime net loss rate on asset-based deals since inception.† The difference is structural: concentrated corporate loans with redemption windows that close at manager discretion vs. asset-based finance with 6–24 month deal terms. 14.6% net ABS returns LTM after losses (3/31/26).† Starting at $500.
Alternative investments are speculative. No assurance can be given that investors will receive a return of their capital. †Past performance is not indicative of future results. Terms apply.
🤿 DEEP DIVE
Starbucks Retires Its AI Inventory Tool After It Struggled to Identify Basic Products on Shelves
Intelligence: Starbucks is retiring its AI-powered inventory counting tool from all North American stores after just nine months, following persistent errors that made the system unreliable in real store conditions.
The tool, built by Seattle-based NomadGo, used LiDAR sensors and tablet cameras to automatically count syrups, milks, and other shelf items, replacing manual tallying by staff.
It struggled with basic accuracy, regularly mixing up similar products like different milk varieties and missing items sitting in plain sight on shelves.
Starbucks framed the pullback as a move toward consistency across stores, but internal feedback from employees was more direct, with staff calling the execution difficult despite appreciating the idea behind it.
Inventory gaps have been a recurring headache for Starbucks leadership for years, and this tool was meant to be a centerpiece of CEO Brian Niccol's "Back to Starbucks" turnaround plan.
The company says it is shifting to daily restocking cycles and supply chain improvements, with AI tools for drink sequencing and barista support still part of the broader tech push.
⚒ TOOL SNAPSHOTS
Futuristic tools within AI, no-code, and productivity
🎨 Stitch 3.0 by Google - Turn prompts into editable app and web UI designs instantly.
🖥️ Freu AI - Automate desktop workflows across apps using plain language.
🧠 Memdex - Turn past AI chats into searchable memory you can reuse.
🎬 Runway Agent - Create finished videos from a simple creative brief.
⚡ Command A+ - Run powerful enterprise AI agents faster and more efficiently.
🖼 AI ART
Examples of great and trending AI art
Images by Infamous_Bother_1996
ℹ️ ABOUT US
The Intelligent Worker helps you to be more productive at work with AI, automation, no-code, and other technologies.
We like real, practical, and tangible use-cases and hate hand-wavy, theoretical, and abstract concepts that don’t drive real-world outcomes.
Our mission is to empower individuals, boost their productivity, and future-proof their careers.
We read all your comments - please provide your feedback!
Did you like today's email?
What more do you want to see in this newsletter?
